onnxruntime/docs
Yi-Hong Lyu e51bcfb541
Implement DepthToSpace uint8_t and Enable DropQDQNodesRules (#23352)
### Description
<!-- Describe your changes. -->

- Implemented the DepthToSpace uint8_t kernel.
- Enabled DropQDQNodesRules for DepthToSpace.
- Added unit tests for the DepthToSpace uint8_t kernel.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

This commit aims to enhance the performance of the Image
Super-Resolution INT8 Model (RFDN). Specifically, it improves the
Inference Per Second (IPS) by 25%, providing a significant boost in
efficiency and speed.
2025-01-15 19:24:50 -08:00
..
c_cxx
execution_providers/images
images
python
ABI_Dev_Notes.md
Android_testing.md
C_API_Guidelines.md
cmake_guideline.md
Coding_Conventions_and_Standards.md
ContribOperators.md [Bug Fix] Missing CustomOp SchemaRegister when generator EPContext ONNX model (#23091) 2024-12-19 16:47:13 -08:00
FAQ.md
How_To_Update_ONNX_Dev_Notes.md
Memory_Optimizer.md
Model_Test.md
NotesOnThreading.md
ONNX_Runtime_Server_Usage.md
onnxruntime_dependencies.dot
onnxruntime_dependencies.png
onnxruntime_extensions.md
OperatorKernels.md Implement DepthToSpace uint8_t and Enable DropQDQNodesRules (#23352) 2025-01-15 19:24:50 -08:00
ORT_Format_Update_in_1.13.md
ORT_Use_Triton_Kernel.md
ORTModule_Convergence_Notes.md
ORTModule_ModuleWithLoss_Wrapper.md
ORTModule_PythonOp_Notes.md
ORTModule_Training_Guidelines.md
PR_Guidelines.md
Privacy.md
Reduced_Operator_Kernel_build.md
ReleaseManagement.md
Roadmap.md
Server.md
Versioning.md
WinML_principles.md